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Braintrust
https://www.usebraintrust.com/
Decentralized talent network platform
A talent marketplace that connects companies with top independent professionals through a transparent and secure platform. It enables hiring, bidding, and project management while ensuring fair fees, clear processes, and efficient collaboration between talent and enterprises.
The problem
Unclear workflow and project visibility
Core workflows across hiring, bidding, and project execution lacked clarity, making it hard for users to understand their current status and next steps. Both employers and talent faced friction during onboarding and job processes, reducing efficiency and confidence in the platform.
The solution
UX and QA audit
Core user flows were reviewed to identify friction points and usability issues.
User flow optimization
Key journeys for employers and talent were improved for clarity and efficiency.
Process status component
A progress indicator was designed to show project stages and next steps.
Visual design system
New components were designed to align with the platform’s existing style.
Referral and rewards UX
Interfaces for referral and token systems were improved and tested.
A/B testing setup
Experiments were implemented to validate UX improvements and ideas.
Results
25%
Reduction in friction across onboarding and job-related workflows.
15%
Increase in engagement through tested referral and reward features.
100%
Core user flows audited and improved for better usability.
Key features
Highlights
Process status visibility
A clear progress component shows each stage of a project, helping users understand current status, next steps, and overall flow, reducing confusion during hiring and execution.
Optimized user journeys
Key flows for employers and talent are streamlined, making onboarding, job creation, bidding, and completion easier to follow and faster to complete.
Data-driven UX improvements
A/B testing and analytics enable continuous refinement of features like referrals and rewards, helping improve engagement and validate product decisions with real user behavior.
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